| Budget Amount *help |
¥5,590,000 (Direct Cost: ¥4,300,000、Indirect Cost: ¥1,290,000)
Fiscal Year 2014: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2013: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2012: ¥2,470,000 (Direct Cost: ¥1,900,000、Indirect Cost: ¥570,000)
|
|---|
| Outline of Final Research Achievements |
Proteins adapt to novel environments and/or gains functions by substitution in amino-acid sequences. Therefore, mutations in protein-coding genes occur under the selection pressure, the strength and character of which may vary among the regions of the protein. Thus, the spatial distribution of selection pressure provides information on the adaptive evolution of the protein. To detect the distribution, we developed a hierarchical Bayesian model. The Potts model describes the prior distribution of spatial aggregation of selection pressure. The hyper-parameters that define the strength and range of spatial clustering are estimated by maximizing the marginal likelihood. We applied the method to historical data on the influenza hemagglutinin protein, comparing the estimated spatial distribution to that of antigenic sites A-E. The amino-acid residues with higher substitution-rate ratios, representing diversifying selection pressure, overlapped the antigenic sites.
|
